
Pooja Shinde
Software Engineer

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About me
Senior Consultant - Data Engineer at Thoughtworks | Unlocking the Power of Data | AWS Certified | Databricks Certified | Big Data & PySpark Expert | Transforming Insights into Action
Education

Kendriya Vidyalaya ,pune
2005 - 2010Science
DY Patil College of Engineering, Pune
2011 - 2014Bachelor of Engineering - BE Computer Software Engineering
Pune University
2010 - 2014Bachelor of Engineering (BE) Computer Engineering
Malaviya National Insitute of Technology Jaipur
2016 - 2018Master of Technology (MTech) Computer EngineeringActivities and Societies: working on various security and privacy issues for big data in distributed environment. student placement coordinator at MNIT Jaipur
Experience

Persistent Systems
Nov 2014 - Jun 2016Software EngineerContributed in Drupal-based website development, integrating Apache Solr to implement advanced search functionalities such as faceting, highlighting, and stop-word removal. Assisted in managing Solr configurations in a clustered environment with ZooKeeper to ensure high performance and reliability.Contributed to the internal portal developments.Gained hands-on experience with Apache Solr, focusing on configuring and optimizing search features to improve user experience.Completed comprehensive full-stack training.Utilized a variety of technologies, including Apache Solr, AWS, Drupal, Java, JavaScript, and ZooKeeper, to contribute to the development of comprehensive solutions. Show less

BlazeClan Technologies
Sept 2018 - Oct 2019Cloud EngineerDesigned and developed a cloud-based data lake to facilitate reporting and analytics, showcasing my expertise in architecting scalable and efficient data storage solutions on AWS. Developed real-time Serverless solutions to enhance sales performance, effectively leveraging AWS services for immediate data processing.Implemented Python-based Lambda functions for efficient data processing, demonstrating my proficiency in serverless computing.Executed PySpark jobs on Amazon EMR for historical data loads, highlighting my expertise in big data processing and analysis.Integrated ElasticSearch for audit logging and reporting in Kibana, showcasing my ability to utilize AWS Elasticsearch Service for comprehensive log analytics.Created a UI-based testing automation framework for Data Lake projectsLeveraged Python libraries such as Pandas, NumPy, and Boto3 for efficient data processing and seamless interaction with AWS services. Show less

Saksoft
Oct 2019 - Sept 2021ConsultantDeveloped a robust Data Lake pipeline insurance client, integrating and processing data from upstream systems like Headless Manufacture for downstream accessibility. Conducted data cleaning and transformations across multiple channels, generating over 100 tailored reports to fulfill diverse business needs.Managed JSON data in ingestion pipelines, converting it to Parquet format for optimized storage and processing.Utilized AWS Step Functions to streamline workflows, enhancing operational efficiency.Created APIs for testing teams to fetch entity status and generate ad-hoc reports.Established Docker environments for efficient querying of Parquet data.Developed automated email solutions to disseminate client reports via AWS Glue jobs.Restructured existing jobs using design patterns and OOP principles without altering their external behavior.Leveraged AWS Textract for processing images, PDFs, and files aimed at report generation.Created dashboards on Amazon QuickSight, delivering insights from various data sources.Conducted reconciliation to identify inaccuracies in daily data transmissions.Managed client group products, collaborating directly with clients for new developments and issue resolution.Developed a Kinesis pipeline for logging data flow, ensuring relevance and integrity throughout the process.Utilized AWS services such as Lambda, Glue, SQS, SNS, Kinesis, DynamoDB, Aurora, and S3 to effectively address data processing and integration needs. Show less

Aligned Automation
Sept 2021 - Dec 2024Senior Solutions SpecialistPlayed a pivotal role in enhancing data accessibility, reliability, and security across various projects.Successfully orchestrated the migration of data from diverse sources, including legacy systems, to AWS Data Lake and RDS, utilizing AWS DMS and robust data processing techniques with Python and PySpark.Automated cloud-based data pipelines that support real-time reporting and analytics using advanced visualization tools like Power BI. Implemented event-driven architectures with AWS services like EventBridge and Lambda, ensuring efficient data handling.Led Agile ceremonies and streamlined processes to boost team productivity and deliver projects on time, establishing a culture of collaboration and continuous improvement.Implemented advanced data security measures, including PII data handling protocols and encryption techniques, ensuring compliance with regulatory standards.Designed auto-deployment processes for data management and established CI/CD practices using Git and CodePipeline, enhancing operational efficiency and reliability.Guided and mentored a team of developers, promoting best practices and fostering a collaborative environment that drives project success. Show less

Thoughtworks
Dec 2024 - nowSenior Consultant
Licenses & Certifications

ChatGPT and AI tools
Be10xSept 2024.webp)
AWS Certified Solutions Architect - Associate
Amazon Web Services (AWS)Sept 2019
BigData Hadoop Certification
EdurekaJul 2018- View certificate

Databricks Certified Data Engineer Associate
DatabricksFeb 2025 
Business Intelligence using Power BI
Skill NationSept 2014
Honors & Awards
- Awarded to Pooja ShindeInnovation Award Saksoft Sep 2020
- Awarded to Pooja ShindeBest Project Team Customer Obession award Blazeclan Jul 2019
- Awarded to Pooja ShindeYou made a difference award Blazeclan Sep 2018
- Awarded to Pooja ShindeGot 2 CVE's registered for Kerberos Protocol [CVE-2018-5709 and CVE-2018-5710] NVD ( National Vulnerability Database US) Jan 2018 Kerberos is Network authentication Protocol developed by MIT. Kerberos Protocol is used for authentication Purposes. We detected 2 vulnerabilities in the latest version of this protocol (krb5-1.6.0) and got approved by MIT. We have given solution for resilient Kerberos and shown the impact of the detected vulnerability in distributed systems like Hadoop. The detected vulnerabilities got recognition from all products using it like Redhat, Microsoft Window, Fedora and from MIT itself.Work… Show more Kerberos is Network authentication Protocol developed by MIT. Kerberos Protocol is used for authentication Purposes. We detected 2 vulnerabilities in the latest version of this protocol (krb5-1.6.0) and got approved by MIT. We have given solution for resilient Kerberos and shown the impact of the detected vulnerability in distributed systems like Hadoop. The detected vulnerabilities got recognition from all products using it like Redhat, Microsoft Window, Fedora and from MIT itself.Work Done under the supervision of Emmanuel Pilli (Associate Professor at MNIT).With Special thanks to Sharwan Ram for continues support in my work. Show less
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